Operations | Monitoring | ITSM | DevOps | Cloud

Monitoring AI Applications in 2026: What You Actually Need

Last updated: July 2026. Your AI feature works in development. It demos well. Then it hits production and you discover three problems your test suite did not catch: the LLM hallucinates product names that do not exist, the RAG retrieval step adds 4 seconds to every request, and your OpenAI bill is 3x what you budgeted because one prompt template is burning tokens on context that does not help the output. Traditional APM would have caught the latency.

Making agentic token costs visible in production

In some organizations, high token counts have become a proxy for productivity. Some engineering teams are being pushed to max out context windows and wire in sprawling tool sets. More tokens can mean better agent reasoning and richer context during development, but token costs compound in production. Tokens accumulate across sessions, users, and tool calls in ways that are easy to overlook. Datadog’s 2026 State of AI Engineering report quantifies the scale of this problem.

What Is Observability 2.0? Meaning, Key Features, and How to Adopt It

How many tools does your team need to answer one question about production? For most enterprise IT teams the honest count is four: a metrics dashboard, a log analyzer, a tracing tool, and the spreadsheet where someone stitches the other three together during an incident. Each of those tools stores its own copy of the truth and sends its own bill.

Smart City Monitoring: How Network Visibility Keeps Cities Online

What happens when a city's traffic signals freeze at rush hour and nobody in the operations center knows why? For the teams running a connected city, that gap between a failure and its first clue is the worst place to be. Smart city monitoring closes that gap. It gives operators a live view of every network, device, and service the city runs. A fault gets caught and traced before citizens ever feel it. Without that visibility, small problems stay hidden until they spread.

Best Monitoring Tools in 2026: 10 Tools Compared by Use Case and Pricing

Last updated: July 2026. Pricing verified against public vendor pricing pages on July 9, 2026. The monitoring tool market in 2026 is split. On one side, enterprise platforms keep adding features: security scanning, network monitoring, CI/CD integration, cost management. On the other, developer-focused tools are going deeper on what matters during a production incident: how fast you get from alert to the line of code that caused the problem.

Node.js Performance Monitoring: What to Track and How to Fix It

Your Node.js app is slow and you are not sure where. The response time dashboard shows spikes but not causes. The logs say nothing useful. CPU looks fine. Memory looks fine. Users are complaining anyway. This is the standard Node.js performance debugging experience. The single-threaded event loop, async-everything execution model, and connection pool sharing across all requests make Node.js performance problems different from what you see in Ruby or Python.

The AI Software Engineering Revolution, feat. Anthropic | Big Tent S3E9

In this episode of Grafana's Big Tent, hosts Mat Ryer (Senior Director of AI, Grafana Labs) and Tom Wilkie (CTO, Grafana Labs) sit down with Eric Burns, Field Executive Architect at Anthropic, to talk about building trust between tech and business execs, why Anthropic bet early on running across every major cloud, and what it was like watching large language models go from "interesting" to "obviously the future" in real time.

Network Observability Tools: Complete Guide for Cloud-Native Applications

Modern IT ecosystems have undergone a profound transformation. Organizations have shifted from monolithic applications running on static infrastructure to highly distributed, cloud-native environments powered by microservices, containers, and Kubernetes. This shift has unlocked unprecedented scalability and agility, but it has also introduced new layers of complexity that traditional monitoring tools were never designed to handle.

How Agentic AIOps & Autonomous IT Are Revolutionizing IT Operations | LogicMonitor + IBM

Discover how LogicMonitor and IBM, alongside Edwin AI, are transforming modern IT operations. In this panel discussion, Garth Fort (Chief Product Officer at LogicMonitor) and industry experts break down how businesses are moving past basic observability to embrace self-healing automation and autonomous IT across complex hybrid environments.

Unified Logs, Traces, and Errors: Why One Tool Beats Three

Last updated: July 2026 Your Rails app throws a 500. You open Sentry and find the exception. The stack trace points to a controller action, but it does not tell you why the database call failed. You switch to Datadog and search for the request trace. The trace shows a 3-second query, but you do not know what the application was logging at that moment. You open your log aggregator, paste in the request ID, and scroll through output until you find the slow query log line that explains the lock contention.

How Upstash Monitors Every Redis Replica with Checkly

There's a support ticket every SRE dreads: "is something wrong with my database?" The outage is bad enough. Worse is the possibility that the customer knew first. At Upstash, we treat that scenario as two failures rather than one: the incident itself, and the uptime monitoring gap that let a customer beat us to it. We write a postmortem for the gap, too.

Top tips: How to be an essentialist at work

Top tips is a weekly column where we highlight what’s trending in the tech world and share ways to stay ahead. This week, let's look at a few ways you can become an essentialist at work. It's easy to fill up our calendar with tasks that may not be impactful, but we end up feeling falsely accomplished. This happens to us more often than we realize, and the antidote to this is to be an essentialist.

When and what should I be logging?

This is a follow-up to Sergiy’s post Errors, traces, logs, metrics: when to reach for what. Modern observability platforms, like Sentry, give developers a lot of choice. For a given problem, should you use traces, profiles, metrics, logs? If you take away one thing from this post, I hope it’s this: when in doubt, start by adding a few targeted log lines.

ITSM Knowledge Management: How to Build a Knowledge Base Your Team Will Actually Use

How many times should your service desk solve the same problem before it becomes shared knowledge? A senior agent on a 14-person service desk we worked with last quarter had answered the same question four times in two days for four different employees. The solution was already documented but buried in a wiki nobody could find. That is exactly the gap ITSM knowledge management is designed to close.

10 Best Endpoint Management Software Tools in 2026

What makes one endpoint management tool better than another? Not the feature list. Almost every tool claims patching, asset tracking, and automation. What matters is whether it holds up across a few hundred machines, and how much time it hands back to your team. For most IT teams, a good tool needs to: We looked at 10 of the best endpoint management software tools for 2026. We read through G2 and Gartner Peer Insights ratings, checked vendor pricing pages, and went through user reviews.

Business intelligence plugins for Grafana: A support update

In January, we announced that Grafana Labs had assumed maintenance of the business intelligence (BI) plugins created by Volkov Labs, and committed to a six-month maintenance period. Today, we’re sharing an update: we're extending our maintenance commitment through the end of 2026. As announced earlier this year, that commitment includes maintaining compatibility with recent Grafana releases while handling bug fixes, security updates, and community contributions on a best-effort basis.

Build an SRE Agent Harness for AIOps Without Context Blowout

An agent harness for AIOps is the runtime layer that coding agents like Claude Code were never built to provide: context isolation, decision traceability, and gated execution for tools that touch production. Aura is Mezmo's open-source (Apache 2.0) agent harness, purpose-built for operations work rather than software development.

Skylar Advisor Guided Walkthrough

Learn how Skylar Advisor helps IT operations teams move beyond monitoring to AI-driven operational intelligence. In this walkthrough, you'll see how Skylar Advisor helps operators investigate issues, identify meaningful operational risks, collaborate more effectively, and predict potential problems before they impact services. In this video you'll discover Skylar Advisors key features like: By combining Ask Skylar, investigations, advisories, and predictions, Skylar Advisor helps IT teams reduce noise, focus on what matters most, and proactively improve service reliability.

Best IT Help Desk Software in 2026: 10 Tools Compared

How do you pick the right IT help desk software when every vendor calls itself the best? It comes down to three things. Your team size, your deployment rules, and whether you need full ITSM or plain ticketing. A five-person startup can run support from a shared inbox. A 200-person IT team cannot. Add asset tracking, SLAs, and change control, and that inbox falls apart. The right IT support software routes tickets on its own, links every request to the asset behind it, and shows you where time goes.

Multi-Agent Collaboration on a Shared Canvas

This post was co-written with Staff Software Engineer Martin Holman. Honeycomb Canvas is a collaborative investigation environment. When something goes wrong in production, multiple engineers might join the same Canvas to debug it together. Each person has their own AI agent, so they can pursue their own conversation thread and line of inquiry. This creates an opportunity for coordination.

The future of governing AI agents

How to build governance into autonomous security agents from the architecture up The industry has moved fast on capabilities. Agents now triage alerts, investigate endpoints, create detection rules, and enrich indicators, and they are even capable of performing most actions we as security operators can perform. The architecture patterns are maturing, as are the models, but governance is not keeping pace.

Two Days Away From the Keyboard: Our Team Event Recap

Once a year, the Icinga team goes for a team event somewhere about an hour or two away from the office. This year’s edition landed us at the Adventure Campus in Treuchtlichen, right in the middle of this year’s first heatwave. The heat was unbearable. At one point we gave up on the room we had been using and moved everyone down into a basement meeting room instead. It was quite a bit more retro in style, with an overhead projector, that we had a lot of fun with.

How to Hold Your ISP Accountable: Network Monitoring for Schools & Multi-Site Public Institutions

The Internet at one of your school sites slows to a crawl. Teachers can't load their lesson plans. A video call for a virtual class freezes. Your IT team calls the ISP. The ISP runs its own checks and tells you everything looks fine on their end. Sound familiar? This is the core problem every school board and public institution runs into eventually. Your ISP has full visibility into their own network. You don't.

AI-powered monitoring with Site24x7's Zia

In this video, you'll learn how to integrate Large Language Models (LLMs) with Site24x7 using Bring Your Own Key (BYOK), Zoho Key Services (ZKS), and Microsoft Azure OpenAI. Discover how Zia helps you analyze outages, understand performance issues, identify root causes, and get monitoring insights using simple natural-language queries. What you'll learn.

Monitor your .NET MAUI apps with Datadog RUM

As.NET Multi-platform App UI (MAUI) becomes the default cross-platform UI framework in the Microsoft ecosystem, many teams are standardizing on it to build mobile applications for iOS and Android. However, observability has not kept pace with the shift in adoption. Developers often rely on unsupported community bindings or maintain their own wrappers around native iOS and Android SDKs, which introduces instability and ongoing maintenance.

The invisible visitor: Why the internet is no longer just for humans

"Every website was once designed for people. That assumption is beginning to change." For nearly three decades, the internet has worked in a predictable way. Whenever we wanted to know something, we searched for it, clicked through a few websites, compared information, and made a decision. Whether it was buying a new phone, planning a vacation, or researching software for work, businesses knew exactly how people behaved online.

The SolarWinds Customer Zero Story

In this SolarWinds Customer Zero story, team members share how they use SolarWinds products every day across observability, incident response, enterprise service management, log analytics, Kubernetes monitoring, and self-hosted infrastructure monitoring. Hear how internal teams serve as the first customer by testing real-world workflows, sending direct product feedback, and helping shape the platform through hands-on use.

Runtime Aware PR Verifier | Lightrun

Lightrun's Or Golan demos the Runtime Aware PR Verifier, a new Lightrun product that simulates pull requests against live runtime behavior before you merge. Watch use Lightrun to simulate an AI-generated PR, identify the affected production flows, and uncover a hidden risk that static review would miss. Instead of only asking whether the code looks correct, Runtime Aware PR Verifier checks whether the change matches how your system actually behaves in production.

From Alerting to Assurance: Why Proactive Operations Define Trust at Scale

There’s a difference between seeing a problem and preventing one is not a question of tooling. It is a question of operational posture. Across eleven operator interviews at Nexus Live, a consistent pattern emerged. Teams are not struggling because they lack visibility. They are struggling because visibility alone does not produce confidence. Alert floods, late root cause discovery, and 3am escalations have become normalized in hybrid environments. The result is not just fatigue.

DASH 2026 recap: Product news, sessions, and highlights

DASH 2026 brought thousands of engineers, builders, security professionals, and technology leaders to New York City for 2½ days focused on building, operating, and securing modern systems. Across hands-on sessions and more than 40 customer talks, teams shared how they’re tackling real-world challenges at scale with Datadog. On stage, the keynote set the direction for what’s next across observability, security, and AI, highlighting a shift toward more autonomous, AI-assisted operations.

How to scale access control in Grafana Cloud

One of the primary reasons organizations adopt Grafana Cloud is to create a single pane of glass across the data they collect from self-hosted systems, cloud providers, and third-party platforms. Bringing those signals together enables richer correlations, reduces tool sprawl, and makes it easier for teams to understand what's happening across their environment. But as observability grows and becomes more centralized, access management becomes more important.

Site24x7 Free Training Series - Session 1: Introduction, Website Monitoring, RUM & DRA

Welcome to Day 1 of the Site24x7 Training Program! This is the first session in our 5-part training series covering every module of Site24x7. In this session, we introduce the platform and take a deep dive into: Website Monitoring Real User Monitoring (RUM) Digital Risk Analyser (DRA) Session 1 – Introduction & Website Monitoring, Real User Monitoring, Digital Risk Analyser.

Called it (mostly): Checking in on 2026 predictions so far

On this episode of Masters of Data, we revisit the predictions Adam White, Zoe Hawkins, and David Girvin made at the end of last year, checking our own scorecard halfway through 2026. The hits: agents running amok and deleting databases, MCP becoming the backbone for tracking what agents actually do, growing security gaps around personal data, and a collective rejection of low-quality AI content. The misses: we underestimated how fast companies would cut staff for AI, then quietly start rehiring once the agents couldn't cover the work, and we're still arguing about whether token burn is a cost problem or a coming attack vector.

Deterministic vs Probabilistic AI Engineering Explained

Deterministic processes carry one guarantee: the same input will produce the same output. That guarantee built the entire observability stack. AI broke that contract by reasoning in terms of probability. The same input can now produce different outputs, whether from AI-generated code that carries assumptions invisible in staging, or from distributed systems where timing creates failures that no pre-captured telemetry can anticipate.

Amit explains AO

Most enterprises have observability tools. What they often lack is a shared view between application and infrastructure teams. When application performance degrades, finding the root cause can be slow because the data lives in separate silos. Virtana brings application observability and infrastructure intelligence together in a single platform, helping teams identify issues faster, collaborate more effectively, and shift from reactive troubleshooting to proactive operations.

Sentry 201: Build agentic workflows with the Sentry MCP, CLI and Seer

Agents are pretty good at fixing your apps. We can make them even better. ​In this workshop we’re going to show you how to give your agents superpowers using Seer, the Sentry MCP server, and CLI tool. Join to learn how to: ​- Teach agents how to best implement and work with Sentry through agent skills and the CLI tool. ​- Set up Seer’s agent handoff feature for Claude, Cursor, or GitHub Copilot and have agents start automatically generating pull requests for fixes.
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Proactive error management: Collaborate effectively and work smarter with tags

Talking to many of our customers with different needs and use cases, one particular issue comes up all the time. When I'm seeing so many error groups in my app and so many error notifications in my inbox every day, it's easy to end up feeling overwhelmed. I want a more proactive system to alert me to which errors need attention and when, so that I can stop getting buried. Does this hit home? Then this article is written for you, the tech leads and the product managers who are on the front-line of issue prioritization.

Stop Guessing Why Latency Spiked | Lightrun

Latency spikes are easy to detect. Understanding why they happened is the hard part. Gidi Freud explains how Lightrun helps engineers debug latency spikes by automatically capturing runtime context when a execution of code exceeds a defined threshold. Instead of only seeing that a method or code block was slow, you can capture local variables and source location from the exact execution that crossed the threshold.

Introducing AppSignal for Startups

Good monitoring shouldn't be a luxury for well-funded teams. Early-stage startups run the same production systems as everyone else, on a tighter budget. That's when clear observability earns its keep. Today we're launching AppSignal for Startups: an ongoing discount on the full AppSignal platform for early-stage teams, with a better deal for Y Combinator companies.

ActiveMQ JVM Memory & GC Tuning: Heap Sizing, G1GC, ZGC Guide

The JVM is the runtime foundation of every ActiveMQ deployment. Message throughput, delivery latency, producer flow control triggers, OOM crashes, and GC-induced delivery pauses all trace back to JVM memory configuration. Yet ActiveMQ ships with a 512MB heap and no GC logging, appropriate for a developer laptop, not for an enterprise message broker handling millions of messages a day.

ActiveMQ Backup and Disaster Recovery: Complete DR Guide

A message broker's backup and disaster recovery plan is the last line of defense against scenarios that HA cannot address: a full datacenter outage, catastrophic hardware failure that destroys both primary and secondary nodes, accidental message deletion, or KahaDB corruption that prevents the broker from starting.

8 Best Patch Management Software for 2026

Somewhere in your environment, a patch is sitting in a queue because the last rollout broke something, and nobody wants to run it again. That is the exact failure mode good patch management software is supposed to prevent, and multiplied across a few hundred endpoints, it is exactly the kind of gap attackers look for.

From Prototype to Production With AWS AgentCore

"Hello world, this is your agent speaking!" The agent loop! The LLM is calling tools, the answers are sensible, and the sky's the limit. Now, as you look forward to production, you look for a composable toolset, something that can grow with your use case and system needs. That's what we created with Honeycomb Canvas: a collaborative investigation space where AI agents help you understand, fix, and learn about your system.

Monitor watchOS and visionOS apps with Datadog RUM

Apple’s platform ecosystem is evolving as developers build production applications for watchOS and visionOS. Whether it’s a fitness app on Apple Watch or an immersive spatial computing experience on Apple Vision Pro, these platforms have moved beyond the experimental phase to support real users. Despite this growth in adoption, teams lack visibility into how their apps behave on these devices.

MCP vs CLI: Does it even make a difference? | Live Laugh Logs ep. 3

MCP vs CLI: does it even make a difference? Here’s everything you need to know. Welcome to Episode 3 of Live Laugh Logs, the podcast from the Coralogix Developer Relations team. This week Andre has made the move to the US, so Annie and Lewis are joined by George Pickers, Head of Solution Engineering for EMEA & APAC at Coralogix.

SLA vs SLO vs SLI Explained: What Should You Track?

In this video, learn the difference between SLA, SLO, and SLI and why understanding each one is essential for delivering reliable IT services. Discover how these three service level metrics work together and why tracking the right one helps improve service reliability, customer satisfaction, and operational performance. Whether you're an IT operations professional, SRE, DevOps engineer, or service manager, this video explains SLA, SLO, and SLI in simple terms so you can build measurable goals and realistic service commitments.

Overview of Alerts, Real-Time Analysis, & Traceroute

Learn how Uptime.com alerts you the moment a check goes Up or Down, complete with technical details and root cause analysis for API and Transaction checks. Dive into Real-Time Analysis to track outage timelines and get detailed insight into every alert. Plus, see how Traceroute from global or private probe servers helps identify connection issues quickly and accurately. Stay informed. Respond faster. Resolve smarter.

Tech Talk: Observability Simplified, APM and Network Behavior

Participants are welcomed to a session titled "Observability Simplified," focusing on user experience, application performance, and network behavior. This second part of a three-part series highlights how the Splunk Observability Cloud and Cisco ThousandEyes can create a unified view of applications, infrastructure, and network performance. Key discussions include addressing siloed troubleshooting, enhancing visibility, and a live demo showcasing how to identify network issues affecting application performance. Attendees are encouraged to participate in the Q&A and are reminded that the session will be recorded for future reference.

Q&A: How Elastic and Anyshift are bringing AI-powered context to incident response

Incident response often depends on connecting two kinds of context: what changed in the environment and what the logs say happened next. Through a new integration with Elastic, Anyshift’s AI agent, Annie, can read from a customer’s Elasticsearch deployment to search logs, surface error and warning spikes, and correlate log evidence with infrastructure change history.

Intelligent Packaging Operations: Quality Control and Production Line Monitoring

A lipstick tube looks simple. But making millions of them with consistent color, fit, and feel is hard. The packaging industry runs on tight tolerances. A cap that is 0.1mm too loose will fail a brand's quality check. A bottle with a scratch gets thrown out. Packaging for cosmetics, personal care, and household products faces the same operational challenges. High volume. Strict quality. Short lead times. Here is how modern technology helps solve these problems.

Lifting Equipment Operations: Safety Monitoring and IoT-Enabled Maintenance

A tower crane lifts ten tons of steel 50 meters up. A gantry crane in a shipyard moves containers weighing 40 tons. A winch pulls a vehicle onto a flatbed. These operations have one thing in common: failure is not an option. Lifting equipment operates in some of the most demanding environments on earth. Construction sites, shipyards, mines, and warehouses all depend on it. When a crane fails or a sling breaks, the results can be catastrophic. Here is how technology improves safety and uptime.

How to Consolidate Your Azure & Multi-Cloud Monitoring and Avoid Tool Sprawl

This is the eighth blog in our Azure Monitoring series, where we look at a challenge many organizations face as Azure and multi-cloud environments expand: monitoring tool sprawl. What starts as a few monitoring solutions for different needs can turn into disconnected dashboards, duplicate alerts, and fragmented visibility.

Icinga Web 2.14, Security Releases, and Module Updates

We are shipping a new batch of Icinga Web ecosystem releases today. Icinga Web 2.14 is the headline, bringing the baseline for two-factor authentication support, configurable password policies, a configurable Content Security Policy, and a round of developer tooling improvements that have been in the works for a while. Icinga Certificate Monitoring 1.4, Icinga Reporting 1.1, and Icinga PDF Export 0.13 join it with PHP 8.5 support across the board and a set of focused improvements for each module.

Observability for LLM Apps and Agents: OpenLIT SDK + VictoriaMetrics observability stack

Many “LLM observability with OpenTelemetry” tutorials stop at a single chat.completions span. That works for a demo, but it leaves gaps once an agent fans out into 30 tool calls, two vector-DB queries, three handoffs, and a 90-second tail latency you need to attribute. This post wires the OpenLIT SDK (50+ instrumentations, OTel GenAI semantic conventions, one line of code) into the full VictoriaMetrics observability stack and shows query examples that turn agent telemetry into decisions.

Unified Observability: Moving IT Teams from Reactive to Predictive

What does it take to stop an outage before it starts? In many cases, the warning signs are already there, scattered across different monitoring tools, which makes it difficult to see the full picture before issues escalate. When an incident occurs, engineers often spend valuable time piecing together metrics, logs, traces, and alerts to determine the root cause. Every minute spent investigating extends the outage and increases its business impact.

DevOps with Kubernetes: How to Reduce Cluster Toil and Complexity

Has Kubernetes made your DevOps team faster, or just busier? Most teams adopt it for speed and portability, and they get both. What arrives with it is a quieter cost: the operational weight of running the cluster day to day. That weight shows up in the manual work the platform was supposed to eliminate. A resource limit set incorrectly can waste infrastructure for months.

What is Network Configuration Management

Many network outages usually start with something as small as a configuration change that nobody logged. One undocumented edit to a firewall or a core switch can lead to the team losing hours working out what changed, on which device, and how to undo it. Across cloud, SD-WAN, and multi-vendor stacks, that guesswork only gets more expensive. Network configuration management takes the guesswork off the table.

Introducing relationships for Service Monitors

Understanding a service outage is easier when you can see what it’s connected to. That’s why we’re introducing Relationships for Service Monitors, one of the most requested features from StatusGator’s hundreds of enterprise IT teams. You can now explore related services directly from the Service Details page by opening the Relationships dropdown.

June 2026 Early Warning Signals

June 2026 saw major outages across ecommerce, AI, developer tools, and business applications. StatusGator’s Early Warning Signals surfaced many of these incidents before providers updated their official status pages. Of the 1,067 incidents detected by StatusGator in June, only 191 (17.9%) were eventually acknowledged by providers.

Monitor Your PHP Applications with AppSignal

Good news for PHP developers: AppSignal monitoring is now available for PHP applications. Our new package brings traces, metrics, and logs from your PHP app into AppSignal, with auto-instrumentation for frameworks like Laravel and Symfony and a foundation built on OpenTelemetry. Already using AppSignal's PHP package and want the latest updates? Migrating is straightforward: remove your current OpenTelemetry setup and follow our new install guide.

Could vs. Should: The First Year Managing an SRE Team

As of today, I’ve drafted this post upwards of 10 times – it’s old enough that the version I first started working on was called “Reflections on 1 Year of SRE Management” (I’m currently at 2.5 years). But everything I learned during that first year became critical for the next.

What Are Network Performance Metrics? How to Track and Fix Issues (2026)

Network performance metrics are real-time measurements of how data moves across your network, from speed and capacity to delay, loss, and reliability. Network performance metrics are the diagnostic layer between your infrastructure and your users. They explain why things are slow, dropped, or unreachable by capturing everything from how fast packets travel and how much bandwidth is in use to how often data gets dropped or delayed.

You Can't Detect What You Never Collect: Telemetry Coverage in the Agentic SOC

Every detection rule, every threat hunt, every AI agent you deploy rests on one silent assumption: that the data describing an attack actually reached your tools. When it doesn’t, nothing above it can save you, and no one gets an alert that the data was missing. Security teams invest heavily in the sharp end of the stack: detection content, threat intelligence, response playbooks, and increasingly, AI agents to triage and investigate at machine speed.

VDI Monitoring: How to Ensure High-Performance Virtual Desktop Infrastructure

Remote and hybrid work turned virtual desktops from a niche IT choice into a core way employees get their jobs done. When a desktop lives in the data center or the cloud, every logon, click, and screen refresh depends on infrastructure the user never sees. That shift is why VDI monitoring matters: it protects the end-user experience when the desktop is no longer local. The challenge is that a single slow session can have dozens of causes—across compute, storage, network, and the broker layer.

9 Best Azure Monitoring Tools Compared for 2026

When an Azure service slows down or stops responding, you often hear about it from a user before your monitoring says a word. It only gets harder as you scale: Azure now runs about a fifth of the world's cloud workloads (Statista, 2026), and every new service is one more place a failure can hide. By the end, you will have a shortlist for your stack. You will also know which tools to skip, without sitting through nine sales demos to find out.

What is DPDPA Compliance? A Complete Guide

If your organisation handles the personal data of people in India, the DPDPA applies to you and compliance is a legal requirement. The Digital Personal Data Protection Act, 2023 is now backed by the DPDP Rules 2025, and the Data Protection Board of India can impose fines of up to ₹250 crore for a single contravention. The obligation your IT and security teams own most directly is security safeguards under Section 8, and it is one of the first things a regulator looks at after a breach.

What Is NetFlow, and How Does It Reveal Where Traffic Goes?

In this video, learn what NetFlow is and why it's one of the most effective technologies for understanding network traffic. Discover how NetFlow goes beyond basic bandwidth monitoring by showing who is using your network, what applications are consuming bandwidth, and how traffic patterns change over time. Whether you're a network administrator, IT operations engineer, or infrastructure manager, this video explains NetFlow in simple terms and shows how it helps identify bandwidth hogs, troubleshoot slow networks, and make smarter capacity planning decisions.

ITSM Maturity Playbook Live, Episode 2 | The CMDB is Your Map

Join this 5-part series designed to help IT teams move from reactive, fragmented processes to a more structured, connected way of working. Each session focuses on a core area, from incident resolution and CMDB visibility to employee experience, service catalog design, and change governance, giving you practical frameworks you can apply right away. You’ll walk away with: Faster, more consistent incident resolution.

Autoscaling Checkly Private Location Agents in Kubernetes with KEDA

Monitoring load is not always steady. A team might add a new batch of checks or run several ad hoc tests during a rollout. When that happens, your Private Location agents need to pick up more work at once. If there aren’t enough agents available during a burst, checks start piling up in the queue, which can delay or disrupt check execution. But solving this by running a high number of agents around the clock has the opposite problem: most of that capacity sits idle until the next busy period.

Self-Healing ITOps: Close the Loop From Detection to Resolution

Self-healing ITOps helps restore services faster by combining AI-driven analysis, automation, and recovery validation. Organizations have invested heavily in monitoring, observability, and AIOps. These platforms are effective at identifying issues, but incident resolution is often still a manual process. Engineers still need to investigate alerts, determine the appropriate remediation, and verify that services have recovered.

Any Apple update can break our app. Here's how we find out first.

This is a guest post by Dan Mindru, a Frontend Developer and Designer who is also the co-host of the Morning Maker Show. Dan is currently developing a number of applications including PageUI, Clobbr, and CronTool. It feels like with every release, we are walking a tightrope. We need to keep our app lightweight, stable, and performant, all the while depending on APIs that can shift at any moment (without warning, too!).

New in Skylar One - Kyoto: Better Context for Faster, More Confident IT Operations

Modern IT environments do not fail in neat, isolated ways. A network issue in one location can affect a business service somewhere else. A device alert may be the first sign of a larger dependency problem. And when teams are managing infrastructure across data centers, cloud, branches, campuses, and edge environments, the first challenge is often knowing where to look first. The issue is not alert volume alone. It is the missing context between telemetry, service impact, probable cause, and action.

When One Agent Plans and Another Executes, the Planner's View Decides Everything

Split network operations into a planning agent and an executing agent and you have an elegant design on paper. One agent reasons about what should change and validates it. The other carries it out. The elegance is real, and so is the structural consequence: the split puts the entire weight of judgment on the planner. A plan built on a partial view, then executed precisely and at machine speed, is more dangerous than a cautious human who would have hesitated at the part that did not add up.

Overview of Alerts, Real-Time Analysis, & Traceroute

Learn how Uptime.com alerts you the moment a check goes Up or Down, complete with technical details and root cause analysis for API and Transaction checks. Dive into Real-Time Analysis to track outage timelines and get detailed insight into every alert. Plus, see how Traceroute from global or private probe servers helps identify connection issues quickly and accurately. Stay informed. Respond faster. Resolve smarter.

Improving MTTR with AIOps: Myth or Fact?

There was a version of daily life, not long ago, that ran entirely on physical effort. Booking a trip meant a visit to a travel agent. Ordering lunch meant walking to a restaurant or calling and hoping someone picked up. Buying something for the home meant a trip to the store and a checkout queue. Paying a bill meant visiting a bank branch and engaging with a teller. None of it was instant, and nobody expected it to be.

How Agentic AI speeds up troubleshooting application issues

One night, Daniel Rizzy was the only person awake on Zylker’s IT team, and the clock was already running. He was also the only thing standing between a P1 outage and 10,000 customers. Rizzy works nights for ZylkerXchange, Zylker’s foreign currency exchange app. He lives on the city’s outskirts, where the air is clean and quiet, and the night shift suited that life. Most nights, nothing happened. Some nights, everything did.

What the World Cup Looks Like in Internet Traffic

The World Cup may be the most-watched event in media history — so what does it look like from inside the network? We dug into ISP traffic data to reveal how Fox Sports peaks during US games, why second halves usually win, and how traffic flows shift for entire nations like Brazil and Iran when their team takes the field.

What's New in InfluxDB and Telegraf: Q2 2026 Product Updates

Summary: Q2 was about giving teams more leverage with less overhead. Between April and June 2026, releases across Telegraf, InfluxDB 3, and InfluxDB 3 Explorer focused on reducing manual work and putting more control directly in their hands as they scale. Telegraf Enterprise reached general availability, giving teams a centralized way to manage, monitor, and support tens of thousands of Telegraf agents.

Availability, Performance and Behavior : The Big Picture of Network Intelligence

In this session, we will introduce the third dimension of network monitoring: behavioral intelligence built into the Progress WhatsUp Gold network monitoring solution. Where other tools, like SolarWinds and PRTG, require multiple modules, complex rule-writing, integrations or additional overhead, the WhatsUp Gold solution uses AI-driven behavioral analysis to automatically baseline what’s normal in your network and unveils deviations early.

The Next Enterprise AI Challenge: The Multi-Model Workplace

For the last two years, enterprise AI strategy has largely focused on one thing: adoption. Organizations encouraged employees to experiment with ChatGPT, Claude, Copilot, Gemini, and dozens of emerging AI tools in the hope that productivity gains would naturally follow. CIOs approved pilots, departments launched AI task forces, and leaders pushed teams to integrate AI into everyday work as quickly as possible. But the enterprise AI conversation is beginning to change.

Best Network Monitoring Tools in 2026: Compare Top Platforms

Most network monitoring tools alert you that a device is down. The best ones help you determine whether the problem is your WAN circuit, your ISP, or your SaaS provider before your users file a ticket. Traditional network monitoring tools were built for static networks. You poll devices, check interface counters, and still can’t explain why users are complaining about latency.

ServiceNow Pricing Explained for 2026: Plans, Tiers, and Hidden Costs

ServiceNow is a powerful, highly customizable platform built for the complex operations of mid-sized and large enterprises. Its strength is flexibility, with modules spanning IT service management (ITSM), IT operations management (ITOM), HR service delivery, customer service management, and security operations. That modular structure is also why ServiceNow pricing is not sold as a standard price list.

LogicMonitor and Edwin AI: Autonomous IT for Hybrid IT Environments

Autonomous IT starts now with LogicMonitor and Edwin AI, built to help IT teams monitor complex hybrid IT environments, discover root cause faster, reduce downtime, and prevent incidents before they impact revenue or brand reputation. See how LogicMonitor brings AI-powered IT operations, observability, and incident prevention together for modern infrastructure teams.

Monitor DigitalOcean in Grafana with MetricFire

Monitoring your DigitalOcean infrastructure just got easier. MetricFire now integrates natively with DigitalOcean, so you can connect your account and start streaming metrics from Droplets, Load Balancers, Managed Databases, and more directly into Grafana. No agents. No setup overhead. No dashboard stitching. Get full visibility into your DigitalOcean infrastructure from one dashboard, live in minutes.

How AI Agents Are Changing Each Agile SDLC Phase

The Agile software development lifecycle was designed to surface problems early, with short sprints, iterative testing, and continuous integration built on the premise that faster feedback loops produce better software. AI coding tools have changed the velocity equation across every phase of that loop, but the phases designed to catch failures are struggling to keep up because build speed and validation capacity have not accelerated at the same rate, and the gap between them is widening with every sprint.

How Datadog uses AI to build internal software delivery tools and improve system performance

At Datadog, we want our developers to become better at using AI tools with the end goal of building quality software, faster, that generates real value. This includes not only the products and features that our customers use, but also the internal tools that help keep our workflows running smoothly behind the scenes.

DevEx Talks ep 6 - Working Neurodivergent: What Helps, What Doesn't

In this episode, we explore neurodiversity in tech and beyond with guests Carl Alexander and Zach Stepek. They share firsthand experiences of what has helped them thrive as neurodivergent professionals and what has not. Together, they discuss the importance of community as a key factor in empowerment, growth, and long-term success for neurodivergent individuals in both work and life. PlayList Resources for Further Learning.

Reading the agent traces is how you make the call your eval can't

Remember being excited (or dreading, depending on the stage of your career and the company you worked at) about writing unit tests? Or sweating all the details in your end-to-end and integration tests you were sure covered all the use cases your users would hit? These days a lot of UIs are slowly being replaced by a single input field and an agent that promises to deliver the same value a UI would, but with the elegance and pun-ness of a “Jarvis”.

A Four-Step Blueprint for Faster Root Cause Analysis: A Logz.io Webinar

Incident investigations take so long not because the fix is hard, but because finding the right fix is. Most engineers spend 20 to 60 minutes just understanding what’s wrong before they can act, not fixing anything, just trying to see the full picture. The framework that changes this has four steps: Orient, Isolate, Hypothesize, and Verify, and the order matters more than the tools.

Accelerate investigations with AI in Datadog Incident Response

Engineering teams spend much of their incident response time investigating the problem and coordinating the response. Both tasks become harder when telemetry data lives in one place, deployment history is stored in another, and conversations unfold across chat channels and incident bridges. Responders often spend the first part of an incident rebuilding context before they can begin testing hypotheses and working toward resolution.